SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:kth-218079"
 

Search: onr:"swepub:oai:DiVA.org:kth-218079" > Superpixel-Based Se...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Superpixel-Based Segmentation of Polarimetric SAR Images through Two-Stage Merging

Wang, Wei (author)
KTH,Geoinformatik,National University of Defense Technology, China
Xiang, Deliang (author)
KTH,Geoinformatik
Ban, Yifang (author)
KTH,Geoinformatik
show more...
Zhang, Jun (author)
Wan, Jianwei (author)
show less...
 (creator_code:org_t)
English.
  • Other publication (other academic/artistic)
Abstract Subject headings
Close  
  • This paper presents a superpixel-based segmentation method for multilook polarimetric SAR (PolSAR) data. By exploring the PolSAR statistics, a two-stage merging strategy is proposed to improve the segmentation efficiency and accuracy. First, based on the initial superpixel partition, the Wishart-merging stage (WMS) simultaneously merges the regions in homogeneous areas, which can be modelled by the Wishart distribution. The Wishart energy loss together with the edge penalty is utilized so that the merged superpixels are from the same land cover and without ambiguity. In the second stage, the doubly flexible two-parameter KummerU distribution is applied to better characterize the resultant regions from the WMS, which are usually located in heterogeneous areas. This KummerU-merging stage (KUMS) iteratively merges the adjacent regions based on the KummerU energy loss. In addition, the edge penalty and the proposed homogeneity penalty are also adopted to guide the merging procedure, and prevent merging the regions from distinct land covers. Compared with the classical iterative merging methods, the two-stage merging strategy can improve the efficiency based on the WMS, and increase the segmentation accuracy through the KUMS. Two experimental PolSAR datasets acquired by ESAR and EMISAR system are used to demonstrate the effectiveness of the proposed segmentation method.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Publication and Content Type

vet (subject category)
ovr (subject category)

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view